{"id":"W6905698478","doi":"10.15468/dl.pcdbn8","title":"Occurrence Download","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Order (exchange); Data set","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006453709,0.002772307,0.002066421,0.007063792,0.001568564,0.003843741,0.002946567,0.002831357,0.2685547],"category_scores_gemma":[0.006640418,0.0009750136,0.001811492,0.01113747,0.0004394664,0.004310044,0.003418746,0.00216777,0.3885108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00176778,"about_ca_system_score_gemma":0.002604904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02820483,"about_ca_topic_score_gemma":0.05419994,"domain_scores_codex":[0.9987463,0.0001361915,0.0001719428,0.0004229754,0.0002981347,0.0002244857],"domain_scores_gemma":[0.997443,0.0006428616,0.0001893939,0.0005391801,0.0008532463,0.0003322685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004195077,0.00001234573,0.0004317167,0.0006832744,0.00001291405,0.00003605226,0.00002779905,0.0001127889,0.0001108871,0.0003940763,0.9945962,0.003540092],"study_design_scores_gemma":[0.00004232202,0.00001021888,0.001235725,0.0002074113,0.00001363873,0.00007934221,0.0001065499,0.0002956164,0.0001594892,0.00103803,0.9967911,0.0000205658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001313923,0.000174437,0.0001999632,0.0001149517,0.00005268276,0.000014909,0.9932233,0.002325252,0.003763056],"genre_scores_gemma":[0.0004563148,0.0001308068,0.0005880383,0.0001169615,0.00001547291,0.00004355608,0.9963721,0.0005177151,0.001759067],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7314453,"threshold_uncertainty_score":0.8984051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}